Data fusion of SPOT and Landsat images using additive multiresolution wavelet decomposition

Jorge Nunez; Xavier Otazu; Octavi Fors; Ignacio Juvells Prades; Vincenc Pala; Roman Arbiol

doi:10.1117/12.331865

4 December 1998 Data fusion of SPOT and Landsat images using additive multiresolution wavelet decomposition

Jorge Nunez, Xavier Otazu, Octavi Fors, Ignacio Juvells Prades, Vincenc Pala, Roman Arbiol

Proceedings Volume 3500, Image and Signal Processing for Remote Sensing IV; (1998) https://doi.org/10.1117/12.331865
Event: Remote Sensing, 1998, Barcelona, Spain

Abstract

In this paper we present the development of a technique, based on multiresolution wavelet decomposition, for the merging and data fusion of a high-resolution panchromatic image and a low- resolution multispectral image. The method presented here consists of adding the wavelet coefficients of the high- resolution image to the multispectral (low-resolution) data. We have studied several possibilities concluding that the method which produces the best results consists in adding the high order coefficients of the wavelet transform of the panchromatic image to the intensity component (defined as L equals R+G+B/3) of the multispectral image. Using this method, the detail information from both images is preserved. The method is capable of enhancing the spatial quality of the multispectral image while preserving its spectral content to a greater extent. The method presented does not modify the total energy of the multispectral image, since the mean value of each of the added wavelet planes is 0. The method is, thus, an improvement on standard Intensity-Hue-Saturation (IHS or LHS) mergers. We used the method to merge SPOT and LANDSAT (TM) images. The technique presented is clearly better than the IHS and LHS mergers in preserving both spectral and spatial information.

Citation Download Citation

Jorge Nunez, Xavier Otazu, Octavi Fors, Ignacio Juvells Prades, Vincenc Pala, and Roman Arbiol "Data fusion of SPOT and Landsat images using additive multiresolution wavelet decomposition", Proc. SPIE 3500, Image and Signal Processing for Remote Sensing IV, (4 December 1998); https://doi.org/10.1117/12.331865

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